NDLI: Power spectral density of unevenly sampled heart rate data

Content Provider	IEEE Xplore Digital Library
Author	Laguna, P. Moody, G.B. Mark, R.G.
Copyright Year	1995
Description	Author affiliation: Centro Politecnico Superior, Zaragoza Univ., Spain (Laguna, P.)
Abstract	This work studies the frequency behavior of the Lomb method to estimate the power spectral density (PSD) of heart rate (HR) unevenly sampled (UNS) signals. When the UNS can be modeled as uniform plus a random deviation (approximation well satisfied in HR signals), this spectra results in a periodic repetition of the original continuous time spectrum at the mean Nyquist frequency, with a low pass effect affecting the upper bands that depends on the sampling dispersion. In this case the estimation at the base band is unbiased with practically no dispersion. The performance has been tested with real HR signals corroborating the theoretical results. The authors have found that the Lomb method avoids the classical methods problem of low pass effect due to resampling. They conclude that the Lomb method is more suitable than classical methods for PSD estimation of UNS signals.
Starting Page	157
Ending Page	158
File Size	327035
Page Count	2
File Format	PDF
ISBN	0780324757
DOI	10.1109/IEMBS.1995.575048
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-09-20
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heart rate Frequency estimation Heart rate variability Fourier transforms Sampling methods Testing Contamination Random access memory Ferroelectric films Nonvolatile memory
Content Type	Text
Resource Type	Article

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